Saurav Jha – Email: saurav [dot] jha [at] unsw [dot] edu [dot] au

I am a second year PhD student at UNSW Sydney jointly supervised by Dr. Lina Yao and Dr. Dong Gong. Prior to joining UNSW, I was a research assistant at the Computer Vision Center, Barcelona where I worked with Dr. Joost van de Weijer on continual learning.

I completed my Erasmus Mundus Joint Master's Degree in Advanced Systems Dependability from the University of St Andrews, UK, and the University of Lorraine, France. During my master's, I interned with the MULTISPEECH group at Inria Nancy where I worked with Dr. Emmanuel Vincent on training domain-specific language models for Automatic Speech Recognition. Before that, I was a machine learning engineer at FactSet Research Systems Inc.

I earned my BS in Computer Science and Engineering from MNNIT Allahabad, India. I grew up in eastern Nepal witnessing its first-generation post-monarchic privileges. Few of my recent hobbies include strength training, traveling, and movies. I am readily reachable via any media mentioned on this website.

Academic Services

Reviewer for:
- Computer Vision and Pattern Recognition (CVPR 2023)
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- The International Conference on Learning Representations (ICLR 2023)
- Neural Information Processing Systems (NeurIPS 2023)
PC member for Workshop Proposals, Conference on Information and Knowledge Management (CIKM 2023)

2023

September: One paper accepted at NeurIPS 2023: “NPCL: Neural Processes for Uncertainty-Aware Continual Learning”, Saurav Jha, Dong Gong, He Zhao, Lina Yao. [Pre-print and Code coming up soon]
July: One paper accepted at ICCV 2023: “Distilled Reverse Attention Network for Open-world Compositional Zero Shot Learning” [arXiv], Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao.

2022

September: New Pre-print: Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao, “The Neural Process Family: Survey, Applications and Perspectives.” [arXiv]
June: My paper “Towards Exemplar-Free Continual Learning in Vision Transformers” receives the Matrix-sponsored best runner-up award at the CLVision workshop, CVPR 2022 workshop on Continual Learning.
February: I have been awarded the University International Postgraduate Award (UIPA) for my PhD studies at UNSW Sydney.

2021

October: My blog post summarizing my Erasmus Mundus master’s experience has been selected to be published on Erasmus Mundus Association’s website. The link can be found here.
July: My master’s thesis “Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation” done at INRIA has been awarded the best thesis presentation (out of 46 students across 3 universities) at the 2021 DEPEND summer school.
June: I have been awarded the 1000€ prize for the best student poster “Towards Better Voice Assistants” at the Digital Ethics4EU workshop “Digital Ethics: can we do better?”
April: Our paper “Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis“ is accepted by Information Sciences.
March: I am an intern in the MULTISPEECH team at INRIA Nancy working on the H2020 Comprise project.

2020

November: My co-authored paper “Continual Activity Recognition with Generative Adversarial Networks” gets accepted to be issued in the ACM Transactions on Internet of Things.
October: Hosted a webinar on EMJMD application processes in collaboration with Erasmus Mundus, Nepal.
September: My blog post “Continual Learning – where are we?” is up in Towards Data Science.
July: One paper accepted at the Workshop on Continual Learning, ICML 2020.
April: Appointed as the program representative to the EMA for the Erasmus Mundus DEPEND 2020/21 course.
March: My team from St Andrews wins the Barclays chatbot challenge at Hack the Burgh 2020, the University of Edinburgh. The project description is available here.

2019

September: I have moved to St Andrews, Scotland to kick off my Erasmus Mundus Joint Master’s Degree.
April: I have been awarded the prestigious 49,000€ Erasmus Mundus scholarship for a two-year Master’s study at the University of St Andrews, UK and the Universite de Lorraine, France.

2018

June: I have joined the Cognitive Computing team at FactSet Research Systems as a Machine Learning Software Engineer.